Xiaohua Dai

1.5k total citations
87 papers, 801 citations indexed

About

Xiaohua Dai is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Xiaohua Dai has authored 87 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 29 papers in Ecology, Evolution, Behavior and Systematics and 16 papers in Ecology. Recurrent topics in Xiaohua Dai's work include Plant and animal studies (15 papers), Coleoptera Taxonomy and Distribution (14 papers) and Plant Parasitism and Resistance (10 papers). Xiaohua Dai is often cited by papers focused on Plant and animal studies (15 papers), Coleoptera Taxonomy and Distribution (14 papers) and Plant Parasitism and Resistance (10 papers). Xiaohua Dai collaborates with scholars based in China, United States and South Africa. Xiaohua Dai's co-authors include Kevin J. Duffy, Bruce R. Page, Graeme Shannon, Rob Slotow, Qingyun Guo, Huiru Zou, Mugen Liu, Liping Wang, Qing K. Wang and Hui Peng and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Xiaohua Dai

79 papers receiving 780 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaohua Dai China 16 193 167 121 109 107 87 801
Milada Chudíčková Czechia 22 268 1.4× 165 1.0× 77 0.6× 138 1.3× 58 0.5× 36 1.1k
Patrizia Lo Cascio Italy 25 313 1.6× 67 0.4× 208 1.7× 119 1.1× 71 0.7× 72 1.5k
Ping Yang China 22 545 2.8× 62 0.4× 88 0.7× 139 1.3× 152 1.4× 107 1.5k
Kai Jiang China 16 324 1.7× 110 0.7× 137 1.1× 70 0.6× 117 1.1× 85 976
Elena Shagimardanova Russia 14 288 1.5× 112 0.7× 115 1.0× 24 0.2× 103 1.0× 178 854
Ayako Saito Japan 14 171 0.9× 77 0.5× 144 1.2× 220 2.0× 90 0.8× 41 923
Pallavi Chauhan India 15 192 1.0× 77 0.5× 72 0.6× 31 0.3× 135 1.3× 53 693
Aiqing Li China 16 577 3.0× 101 0.6× 385 3.2× 64 0.6× 280 2.6× 50 1.4k
Germán A.B. Mahecha Brazil 18 188 1.0× 64 0.4× 56 0.5× 39 0.4× 202 1.9× 47 972

Countries citing papers authored by Xiaohua Dai

Since Specialization
Citations

This map shows the geographic impact of Xiaohua Dai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaohua Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohua Dai more than expected).

Fields of papers citing papers by Xiaohua Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaohua Dai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaohua Dai. The network helps show where Xiaohua Dai may publish in the future.

Co-authorship network of co-authors of Xiaohua Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohua Dai. A scholar is included among the top collaborators of Xiaohua Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaohua Dai. Xiaohua Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Yang, Nan, et al.. (2023). Mapping potential human-elephant conflict hotspots with UAV monitoring data. Global Ecology and Conservation. 43. e02451–e02451. 9 indexed citations
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Liu, Peng, et al.. (2023). Field survey of Cassidinae beetles (Coleoptera, Chrysomelidae) and their host plants in southern Guangxi, China. ZooKeys. 11. e107523–e107523. 1 indexed citations
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Guo, Qingyun, et al.. (2021). The complete mitochondrial genome of Downesia tarsata (Coleoptera: Chrysomelidae: Cassidinae). SHILAP Revista de lepidopterología. 6(3). 1073–1074. 2 indexed citations
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Duffy, Kevin J., et al.. (2021). A preliminary world checklist of fern-mining insects. ZooKeys. 9. e62839–e62839. 4 indexed citations
11.
Dai, Xiaohua, et al.. (2020). Taxonomic, Phylogenetic, and Functional Diversity of Ferns at Three Differently Disturbed Sites in Longnan County, China. Diversity. 12(4). 135–135. 12 indexed citations
12.
Guo, Qingyun, et al.. (2019). Complete mitochondrial genome of a leaf-mining beetle, Argopistes tsekooni (Coleoptera: Chrysomelidae). SHILAP Revista de lepidopterología. 4(1). 418–419. 2 indexed citations
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Guo, Qingyun, et al.. (2019). Complete Mitogenome of a Leaf-Mining Buprestid Beetle, Trachys auricollis, and Its Phylogenetic Implications. Genes. 10(12). 992–992. 8 indexed citations
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Guo, Qingyun, et al.. (2018). Complete mitochondrial genome of a leaf beetle, Callispa bowringi (Coleoptera: Chrysomelidae). Mitochondrial DNA Part B. 3(1). 213–214. 4 indexed citations
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Guo, Qingyun, et al.. (2018). Mitochondrial genome of a leaf-mining beetle Prionispa champaka Maulik (Coleoptera: Chrysomelidae: Cassidinae). Mitochondrial DNA Part B. 3(1). 147–148. 4 indexed citations
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Guo, Qingyun, et al.. (2017). Complete mitochondrial genome of a leaf-mining beetle, Agonita chinensis Weise (Coleoptera: Chrysomelidae). Mitochondrial DNA Part B. 2(2). 532–533. 9 indexed citations
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Dai, Xiaohua, et al.. (2017). Global pattern of plant utilization across different organisms: Does plant apparency or plant phylogeny matter?. Ecology and Evolution. 7(8). 2535–2545. 17 indexed citations
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Ma, Kun, et al.. (2015). Effect of continuous cropping of potato on allelochemicals and soil microbial community.. Shengtai yu nongcun huanjing xuebao. 31(5). 711–717. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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